Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/66448
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCuevas, E.
dc.contributor.authorZaldivar, D.
dc.contributor.authorRojas, R.
dc.date.accessioned2015-11-19T18:51:19Z-
dc.date.available2015-11-19T18:51:19Z-
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/20.500.12104/66448-
dc.description.abstractReal-time gaze control is a complicated task because of the different dynamics of the elements involved in the process. On the one hand, the algorithms for image processing are usually very time-consuming. On the other hand, the motors and mechanisms used to control camera movements are very slow. This work describes the use of an adaptive network-based fuzzy inference system (ANFIS) model to reduce the delay effects in gaze control and also explains how the delay problem is resolved through prediction of the target movement using a neurofuzzy approach. The approach has been successfully tested in the vision system of a humanoid robot. The predictions improve the velocity and accuracy of object tracking. © 2005 IEEE.
dc.titleNeurofuzzy prediction for gaze control
dc.typeArticle
dc.identifier.doi10.1109/CJECE.2009.5291203
dc.relation.ispartofjournalCanadian Journal of Electrical and Computer Engineering
dc.relation.ispartofvolume34
dc.relation.ispartofissue1
dc.relation.ispartofpage15
dc.relation.ispartofpage20
dc.subject.keywordGaze control; Neurofuzzy systems; Prediction systems
dc.contributor.affiliationCuevas, E., University of Guadalajara, Guadalajara, Mexico; Zaldivar, D., University of Guadalajara, Guadalajara, Mexico, Freie Universit at Berlin, Berlin, Germany; Rojas, R., Jesuit University of Guadalajara (ITESO), Guadalajara, Mexico, National Polytechnic Institute (IPN), Mexico City, Mexico
dc.relation.isReferencedByScopus
dc.relation.isReferencedByWOS
dc.identifier.urlhttp://www.scopus.com/inward/record.url?eid=2-s2.0-70350632779&partnerID=40&md5=a653d0906589fd7ecd98fe3b0b3bcdd6
Appears in Collections:Producción científica UdeG (prueba)

Files in This Item:
There are no files associated with this item.


Items in RIUdeG are protected by copyright, with all rights reserved, unless otherwise indicated.